"RTL" matching MCP servers:

Enables agents to perform deterministic data intake pipelines for FOIA and public comments, with medallion warehouse, PII policy enforcement, and verified insights.

Enables querying metro Atlanta census tracts for gaps between need and access to groceries, pharmacies, clinics, and MARTA service, with tools to rank priority tracts, inspect tract profiles, find nearby tracts, and compare counties.

Enables natural language-powered ETL workflows using Airflow, AWS Glue, Athena, and S3, allowing LLM agents to control and monitor data infrastructure.

MCP server for Hydra ETL: lets AI assistants write declarative YAML ETL pipelines (CSV, Parquet, PostgreSQL, MySQL, MongoDB, APIs) and validate them before any data is read or written.

MCP server for St. Louis transit developer tooling, providing 45 tools for GTFS and GTFS-Realtime inspection, feed surveillance, schedule and arrival queries, assertions, drift detection, and golden-fixture generation for the Light Phone 3 Kotlin transit app, all backed by public unauthenticated sources.

Provides deterministic data parsing and enrichment for AI agents, including bank statements, trade history, EDI, PDFs to structured markdown, and atomic enrichment for amounts, dates, and addresses, with strict schema enforcement to prevent hallucinations.

A Model Context Protocol server for Microsoft Fabric that enables AI agents to query and analyze Lakehouse and Eventhouse data, and manage Eventstreams, using natural language through the MCP interface.